Senior Analytics Engineer
Core
Own and maintain the data transformation layer (dbt + Snowflake) to support reporting, governed metrics, self-serve analytics, and AI-powered capabilities for a global payments platform.
Role type
Senior Analytics Engineer (Data Infrastructure)
Builds
Production-grade data transformation pipelines, streaming data flows, and the semantic foundation for agentic analytics.
Domain
Fintech / Payments / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
dbt (expert-level), SQL, Python, data modeling, Snowflake, streaming data pipelines (Kafka), CI/CD, cost optimization, infrastructure roadmap ownership
Preferred skills
dbt Semantic Layer, Hex, experimentation frameworks, fintech domain experience
Technologies
dbt, Snowflake, Kafka, dbt Cloud, Dagster, Cursor, Windsurf, Claude Code, incident.io, PagerDuty
Responsibilities
Refactor and evolve the data stack to best-in-class standards; ensure real-time and batch data flows are reliable and cost-efficient; enforce coding standards and systematic testing; optimize warehouse performance and cost; deploy autonomous agents against the data stack; scope orchestration tools; mentor analysts on engineering best practices.
Seniority
Senior, hands-on IC